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Most growing teams don't need a full-time data engineer — they need the right one, part of the time. I embed with SaaS and tech companies as a fractional data engineer, acting as a senior technical partner to build reliable pipelines, clean up messy data infrastructure, and deliver systems your team can actually maintain. ✓ 60% infrastructure cost reduction for a global nonprofit ✓ 3× faster data access for Carrefour (Fortune 500) ✓ First production data platforms built from scratch for 3 startups ✓ Zero technical debt left behind with past clients (dbt + Metabase) ------ This works well if you: — Have multiple data sources that need integrating — Are spending 10+ hours/week on manual data work — Are weighing a full-time hire but not ready to commit ------ Services Fractional Data Engineering — Ongoing embedded engagement. I act as your senior data engineer part-time, owning pipelines, architecture decisions, and knowledge transfer. Pipeline Build & Automation — Production-grade ETL/ELT on AWS, BigQuery, or Snowflake using Airflow, dbt, Lambda, and Glue. Platform Architecture — End-to-end data platform design for startups and scaling teams, with stack selection and cost optimization baked in. Audit & Roadmap — I assess your current setup, find what's draining time and budget, and deliver a prioritized 90-day plan. ------ Stack AWS (S3, Glue, Lambda, MWAA, Athena, Step Functions) · BigQuery · Snowflake · Python · SQL · Airflow · dbt · Spark · Terraform · Docker · Metabase · Looker Studio ------ Why clients hire me 6+ years delivering production data platforms · business-first mindset · predictable delivery, no surprises · everything I build is yours to own and maintain

Senior Data Engineer and Cloud Architect specializing in enterprise AWS migrations, real-time ETL/ELT streaming pipelines, and AI-driven automation. I help companies modernize legacy infrastructure (including Informatica and on-prem databases) to high-throughput cloud environments (AWS, GCP, Snowflake), cutting operational costs while scaling throughput. Whether you need to migrate complex legacy ETL jobs, build real-time Kafka pipelines, or integrate agentic AI workflows, I design production-grade systems engineered for high performance and governance. Core Capabilities & Value Delivered Cloud & AWS Migration: End-to-end modernization from legacy tools (Informatica, mainframes, legacy RDBMS) to AWS Glue, Snowflake, and BigQuery. Real-Time Streaming & ETL: High-performance data pipelines built with PySpark, Kafka/MSK, Airflow, and BigQuery handling millions of events per second. AI & Agentic Automation: LLM/RAG integration and low-code/no-code workflows (n8n, Zapier) for operational automation. Cost & Performance Optimization: Architectural re-engineering that optimizes query execution, storage tiering, and cloud compute. Client Impact & Enterprise Projects Walmart USA (Retail): Re-engineered core inventory management pipelines from batch to streaming using PySpark and BigQuery, cutting processing times by 60% for real-time logistics tracking. Rogers Communications (Telecom): Architected scalable MSK/Kafka and AWS Glue telemetry pipelines to process enterprise telecom network data, cutting latency by 70%. Bank of Nova Scotia (Banking & Insurance): Led cloud modernization migrating legacy financial data (Informatica/On-Prem) to Snowflake and BigQuery, lowering cloud OpEx by 20% under strict compliance. Ballys Interactive USA (Gaming): Built real-time odds and streaming pipelines using Kafka, Airflow, PySpark, and BigQuery. Enterprise Construction (USA): Implemented agentic AI workflows (n8n + LLMs) to automate multi-vendor invoice extraction and ingestion into PostgreSQL and Elasticsearch. Core Tech Stack Cloud & AWS Infrastructure: AWS (Glue, Athena, MSK, Redshift, S3, EC2), GCP (BigQuery), Multi-Cloud Architecture. ETL, Processing & Orchestration: PySpark, Informatica PowerCenter/IICS, Apache Airflow, Kafka, Real-Time Streaming, Batch ETL/ELT. Data Warehousing & Databases: Snowflake, Google BigQuery, Amazon Redshift, PostgreSQL, Redis, Elasticsearch. AI & Automation Tools: Production LLMs, RAG Pipelines, n8n, Claude Code, Zapier. Ready to migrate legacy pipelines or build out scalable cloud data architecture? Click Invite to Job or Send Message to discuss your project.

With over 𝟏𝟏 𝐲𝐞𝐚𝐫𝐬 of experience in IT architecture, system integration, and cloud infrastructure, I design and implement robust, secure, and scalable technical solutions across cloud and on-premise environments. I've assisted businesses of all sizes in integrating modern technologies to enhance performance, reduce costs, and scale faster. My work covers multiple industries and technology stacks, delivering automation-driven solutions for enterprise applications, CRM/ERP platforms, data pipelines, identity management systems, and cloud-native infrastructures. 𝐒𝐞𝐥𝐞𝐜𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: • Built and automated Big Data pipelines using Google BigQuery for large-scale analytics • Integrated Salesforce with multiple external data sources via Dell Boomi and custom APIs • Delivered a full-scale Okta SSO solution for 𝟏𝟓𝟎+ applications, including SAML, SWA, and CORS implementations • Developed seamless, scalable integration processes for integrating platforms such as Salesforce, NetSuite, SAP, Workday, Coupa, and Business Central 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: • 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Dell Boomi, REST/SOAP APIs, SFTP, ETL/ELT pipelines, file-based automation, custom API integrations • 𝐒𝐲𝐬𝐭𝐞𝐦 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Hands-on experience integrating platforms such as Salesforce, NetSuite, SAP, Workday, Coupa, Business Central, and Microsoft Dynamics • 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS, Google Cloud, Microsoft Azure, Rackspace • 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: SQL Server, PostgreSQL, MySQL, BigQuery, Data Lakes, Tableau, performance tuning • 𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 & 𝐀𝐜𝐜𝐞𝐬𝐬 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Okta, Auth0, Active Directory, SSO, SAML, CORS, IAM • 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 & 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Python, Shell scripting, JavaScript for automation and integration workflows • 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐞𝐬𝐢𝐠𝐧: Hybrid cloud/on-premise systems, infrastructure design, scalable data architecture, SOC-compliant design 𝐇𝐨𝐰 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐕𝐚𝐥𝐮𝐞 𝐭𝐨 𝐂𝐥𝐢𝐞𝐧𝐭𝐬: I deliver value by designing and implementing tailored, scalable, and cost-effective technology solutions that align with each client's unique goals and infrastructure. My focus is on creating seamless integrations, secure architectures, and efficient workflows that drive measurable results. If you're integrating enterprise systems, building cloud infrastructure, or automating data pipelines—I'll ensure your systems work seamlessly. Let's talk.

** Greetings! I'm part of Upwork's Expert-Vetted Program. Top 1% Freelancer. ** **I am also a Microsoft Data & AI Partner.** **I am also Claude Certified and on path to becoming a Claude Partner** I'm an AI-First Data Engineer and Architect with 15 years of expertise under my belt, including extensive work with Fortune 100 companies. I build Claude-powered systems on top of the data foundations I've shipped my entire career — turning enterprise data into AI agents, internal copilots, and automated workflows that actually run the business. My areas of expertise include: ✅ Claude-Powered AI Agents & Automation ✅ MCP (Model Context Protocol) Server Development ✅ Claude Code & AI-Assisted Engineering ✅ CoPilot & End-to-End MS Stack (Microsoft Partner) ✅ LLM Integration, RAG & Context Engineering ✅ SQL Development ✅ Data Warehouse Implementation ✅ ETL and Data Pipelines ✅ Tableau and Power BI ✅ Power Platform ✅ Advanced Analytics ✅ Shopify and ECommerce Systems Technologies & Skills: 🤖 AI / LLM: Claude (API, Code, Cowork, Teams), MCP Servers, OpenAI, Gemini, RAG, Agentic Systems, Vector DBs (Pinecone, pgvector) 🛠️ AI Tooling: Claude Code, Cursor, n8n, LangChain, Anthropic Skills & Projects 📊 Reporting: Tableau, Power BI, Looker 💾 Databases: SQL Server, MySQL, Oracle, Teradata, InnoDB, Snowflake, BigQuery ☁️ AWS: EC2, S3, Lambda, RDS, DynamoDB, IAM, CloudFormation, QuickSight, SageMaker, Bedrock 🔷 Azure: CoPilot, Virtual Machines, Functions, Synapse, Blob Storage, File Storage, SQL Server, AAD, Container Apps, OpenAI Service 🌐 GCP: BigQuery, Cloud Functions, Cloud SQL, Cloud IAM, Dataflow, Vertex AI, VPC 💻 Programming: SQL, Python, TypeScript, C++, C#, DAX, Batch/Shell Scripting, Stored Procedures, SSIS Working Together: As an AI-First Data Engineer, I specialize in analyzing your company's data assets and building Claude-powered architectures that turn them into autonomous agents, internal copilots, and AI-driven decision systems. I have honed my skills and tools over the years to do this effectively — and I now ship in days what used to take months. When I work with my clients, I see myself as an extension of their team. I am committed to meeting their requirements and working tirelessly to deliver what they need. If I have the opportunity to work on one of your projects, you can count on me to: ✅ Understand your business and its needs ✅ Communicate with you effectively and clearly ✅ Present you with a thorough and detailed project plan ✅ Build production-grade Claude integrations, MCP servers, and AI agents ✅ Provide you with continuous, comprehensive support ✅ Deliver AI-first solutions that meet your requirements Let's join forces and get your AI-first project done right the first time around!

Data Analytics, Data Engineering, and BI Specialist I help businesses make sense of messy data, automate painful processes, and build reporting people actually use. If your data lives in too many spreadsheets, reports take too long, or nobody quite trusts the numbers, I can help. I work across data analytics, business intelligence, data engineering, and automation. In plain English: I build dashboards, reports, pipelines, and processes that turn scattered information into something clear, reliable, and useful. I’ve done this for large enterprises, smaller businesses, and freelance clients across HR, finance, operations, energy, and customer analytics. I’m comfortable getting into the technical weeds, but I also know most clients don’t want a lecture on schemas, query folding, or statistical distributions. They want answers, working solutions, and fewer manual headaches. Fair enough. What I can help with - Power BI dashboards and reporting - Data cleaning, transformation, and modeling - Python, SQL, and R analysis - Data pipelines and ETL workflows - Databricks / Spark projects - Automation using Power Automate, KNIME, and Python - Excel reporting, modeling, and process improvement - Survey, text, and customer data analysis - Business-friendly visuals and reporting - AI-assisted workflow improvement using Claude Code, GitHub Copilot, Microsoft 365 Copilot, and ChatGPT The kinds of problems I solve “We have the data, but nobody trusts it.” “This report takes forever every month.” “Everything is manual and fragile.” “We need a dashboard, but also need the data behind it cleaned up.” “Our process works... if the one person who understands it is still employed here.” If any of those sound familiar, you are very much my target audience. A few examples of the work I’ve done - Built and maintained an HR data model using Python, PySpark, and Databricks - Developed Power BI dashboards for people metrics, executive goals, customer satisfaction, and financial reporting - Created an AI-based process that extracted information from different file formats into structured tables, saving users 4 days of work - Streamlined a financial management process from 3–5 days to 10 minutes - Built automated reporting workflows that replaced manual processes taking days each month - Generated 300+ automated R Markdown reports for participants in a medical study - Built data pipelines connecting internal systems to AWS S3 and Redshift - Used R, Python, SQL, Power BI, Spotfire, KNIME, and Excel to solve reporting, analytics, and process problems across industries Tools I commonly use Languages & Analytics: Python, SQL, R, Excel BI & Visualization: Power BI, Spotfire, Looker Studio / Google Data Studio Data Engineering & Automation: Databricks, Spark, KNIME, Power Automate Version Control & AI Tools: Git, GitHub, GitLab, Claude Code, GitHub Copilot, Microsoft 365 Copilot, ChatGPT What it’s like to work with me I try to be practical, easy to work with, and honest. That means: - I ask good questions up front - I explain technical things in plain English - I build with the end user in mind - I focus on solutions that are useful, not just impressive-looking - I care about reducing manual effort, avoiding brittle processes, and making sure the result actually helps your business My goal is not to make your data look fancy for five minutes. My goal is to make it genuinely useful. Why clients hire me Clients usually come to me when they need someone who can do more than just make a chart look nice. They need someone who can: - understand the business problem - clean and structure the data - build the reporting - automate the annoying parts - and explain the result without sounding like a software manual That combination tends to be pretty useful. Let’s work together If you need someone who can clean up the chaos, build the reporting, automate the repetitive work, and explain it all in plain English, I’d be happy to help. Send me a message with: - what you’re trying to solve - what tools or systems are involved - what kind of output you need - and your timeline If it sounds like a good fit, we can take it from there.